Job responsibilities
- Lead and support a team of engineers building agentic and AI-enabled product experiences.
- Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
- Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
- Ensure AI-powered features are reliable, observable, secure, and ready for production use.
- Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
- Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
- Coach and mentor engineers, supporting career growth and healthy team dynamics.
- Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
- Contribute to hiring and onboarding as the team grows.
What you’ll do
- Lead a team of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces.
- Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
- Ensure AI-powered features are reliable, observable, secure, and ready for production use.
- Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
- Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
- Coach and mentor engineers, supporting career growth and healthy team dynamics.
- Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
- Contribute to hiring and onboarding as the team grows.
Who you are
- Have at least 5 years of hands-on software development experience.
- Have at least 3 years of experience managing and growing software engineering teams.
- Strong background in application or platform engineering, ideally in a SaaS environment.
- Experience leading teams that integrate AI or ML-powered capabilities into production systems.
- Comfort operating at the intersection of product, platform, and data science teams.
- Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
- Experience working with modern backend and frontend stacks.
- Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
- Excellent communication skills and ability to align technical work with business and product goals.
Bonus Points
- Experience leading teams building agentic or LLM-powered product experiences.
- Familiarity with agent frameworks such as Mastra or similar orchestration tools.
- Prior work on decisioning engines, rules engines, or real-time personalization systems.
- Experience collaborating closely with Data Science and ML teams on production integrations.
- Background in marketing technology or customer engagement platforms.
- Experience scaling teams and systems in a remote-first environment.
Benefits & perks
- Competitive salaries, meaningful equity, & 401(k) plan
- Medical, dental, vision, & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
Other details
The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations. The total compensation package includes variable pay, equity, plus a range of benefits, including medical, dental, vision, and financial. Perks and other details are provided by the employer.
